TimeLog-2023-01-18.csv >> close fileTask Start End TotalTaskTime TaskType SummaryTotal SummaryDay Day Date MainTask TotalTimeMin TotalTimeHr SubTaskCtrl+sht+H >> choose directory >> GeogInteract
# copy filename into read.csv
# file.choose()
getwd()## [1] "/Users/wanthony/Documents/R/GeogInteract"
# Ctrl+sht+H >> choose directory >> GeogInteract
TimeLog <- read.csv("TimeLogs/TimeLog-2023-01-20 13-19-09.csv")
# TimeLoglibrary(stringr)
TimeLog[c("Day", "Date", "MainTask")] <- stringr::str_split_fixed(TimeLog$SummaryDay, ': ', 3)colnames(TimeLog)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
TimeLog## Task Start
## 1 Research:Tabs nested iPad 2023-01-20 12:52
## 2 Admin: Lists: Format Shiny to ShinyClone ipad 2023-01-20 3:35
## 3 Code cleaning task lit -ipad 2023-01-20 4:49
## 4 Time Tasks and log from iPad List work 2023-01-20 5:30
## 5 Lists from ipag 2023-01-20 5:34
## 6 Code: Code cleaning WebClone rewrite after Map breakage 2023-01-20 5:41
## 7 Code cleaning WebClone rewrite after Map breakage 2023-01-20 8:55
## End TotalTaskTime TaskType SummaryTotal
## 1 2023-01-20 13:00 8m 12s NA 6h 36m 29s
## 2 2023-01-20 3:50 14m 47s NA 6h 36m 29s
## 3 2023-01-20 4:57 7m 59s NA 6h 36m 29s
## 4 2023-01-20 5:30 4s NA 6h 36m 29s
## 5 2023-01-20 5:38 4m 2s NA 6h 36m 29s
## 6 2023-01-20 8:48 3h 7m 9s NA 6h 36m 29s
## 7 2023-01-20 11:49 2h 54m 16s NA 6h 36m 29s
## SummaryDay Day Date
## 1 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 2 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 3 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 4 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 5 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 6 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## 7 Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists Day 15 2023-01-20 Code
## MainTask TotalTimeMin TotalTimeHr SubTask
## 1 Code Cleaning; To Do Lists 8 0.133 NA
## 2 Code Cleaning; To Do Lists 15 0.250 NA
## 3 Code Cleaning; To Do Lists 8 0.133 NA
## 4 Code Cleaning; To Do Lists 0 0.000 NA
## 5 Code Cleaning; To Do Lists 4 0.067 NA
## 6 Code Cleaning; To Do Lists 187 3.117 NA
## 7 Code Cleaning; To Do Lists 174 2.900 NA
TimeLog$Start## [1] "2023-01-20 12:52" "2023-01-20 3:35" "2023-01-20 4:49" "2023-01-20 5:30"
## [5] "2023-01-20 5:34" "2023-01-20 5:41" "2023-01-20 8:55"
TimeLog$End## [1] "2023-01-20 13:00" "2023-01-20 3:50" "2023-01-20 4:57" "2023-01-20 5:30"
## [5] "2023-01-20 5:38" "2023-01-20 8:48" "2023-01-20 11:49"
# Change Values of single cells to make them 24 hour
?difftime
TimeLog$TotalTimeMin <- difftime(TimeLog$End, TimeLog$Start, units = "mins")
TimeLog$TotalTimeMin## Time differences in mins
## [1] 8 15 8 0 4 187 174
###########################################################
###########################################################
###########################################################
# when the difference is negative, change time to be 24 hours
# iris$Sepal.Length[3]=999
# TimeLog$End[3]="2023-01-12 13:20"
# TimeLog$End[20]="2023-01-08 13:15"
# TimeLog$End[33]="2023-01-09 13:40"
# TimeLog$End[39]="2023-01-11 15:05"
# TimeLog$End
#
# TimeLog$TotalTimeMin <- difftime(TimeLog$End, TimeLog$Start, units = "mins")https://stackoverflow.com/questions/49903171/r-divide-all-rows-of-a-dataframe-column-by-a-number
# https://stackoverflow.com/questions/49903171/r-divide-all-rows-of-a-dataframe-column-by-a-number
colnames(TimeLog)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
TimeLog$TotalTimeHr <- as.numeric(as.character(TimeLog$TotalTimeMin)) / 60
TimeLog$TotalTimeHr## [1] 0.13333333 0.25000000 0.13333333 0.00000000 0.06666667 3.11666667 2.90000000
# limit decimal places
TimeLog$TotalTimeHr <- format(round(TimeLog$TotalTimeHr, 3), nsmall = 3)
TimeLog$TotalTimeHr## [1] "0.133" "0.250" "0.133" "0.000" "0.067" "3.117" "2.900"
Start and End need to be adjusted for 24 hour clock issues using Obsidian Time TrackerTimeLog-Current.csvuse this newly saved file to copy new timelog to current file TimeLog-Current.csv in app folder
write.csv(TimeLog, paste("TimeLogs/TimeLog-", Sys.time(), ".csv", sep=""), row.names=FALSE)summary(TimeLog)## Task Start End TotalTaskTime
## Length:7 Length:7 Length:7 Length:7
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
## TaskType SummaryTotal SummaryDay Day
## Mode:logical Length:7 Length:7 Length:7
## NA's:7 Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
## Date MainTask TotalTimeMin TotalTimeHr
## Length:7 Length:7 Length:7 Length:7
## Class :character Class :character Class :difftime Class :character
## Mode :character Mode :character Mode :numeric Mode :character
## SubTask
## Mode:logical
## NA's:7
##
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
tl## Task
## 1 Data VUE Concept Maps
## 2 Disect Interactive Code
## 3 Email Job Acceptance etc
## 4 CSS Experiments; Wishlists
## 5 Shiny template; data wrangle
## 6 Add .js html
## 7 Add save .csv button
## 8 App to Shiny Server
## 9 Add Concept Maps
## 10 Create Time Log
## 11 Questions to Ask
## 12 Refine app
## 13 Nesting tabs attempts
## 14 Time Tracker Formatting
## 15 Nest Tabs working
## 16 Save code; republish
## 17 Nesting About tab
## 18 Styling background; add images
## 19 Double-Nesting Troubles
## 20 Remove one Filter box
## 21 Try Removing DataTable Row Names - no success
## 22 ToDo lists; search for filtered csv button
## 23 Restyle logo; button; signature
## 24 Trying to make csv button reactive-no luck
## 25 Still Trying to make csv button
## 26 Still Trying to make csv button
## 27 iPad lists; ideas; todos; resources
## 28 iMac transfer iPad-copy.md
## 29 Disected pdf with links
## 30 Figure out creating interactive pdf Adobe acrobat
## 31 concept map pdf from VUE; interactive links with Adobe
## 32 Got Filtered Table with CSV download WORKING!
## 33 Restyled and Uploaded Filtered Table with csv download
## 34 Research js interactive table; Shiny tabs; update Shiny style
## 35 Add tabs and Republish app
## 36 Tweak app content; to do list
## 37 Code Cleaning
## 38 Open links in sep window; publishing errors
## 39 Study Focus pdfs
## 40 Course Data Collection Begins
## 41 Course Data Collection Continues ...
## 42 Try hyperlink in table > no luck
## 43 Start course data collection again
## 44 More ourse data collection
## 45 Planning / Designing Form Input; Flow Diagrams; some Data problems: had to redo stuff ...
## 46 Work on Flow Dataviz
## 47 Clean-up some code
## 48 Mermaid Diagrams Flow Charts
## 49 Data Collection copy/paste
## 50 Finish Data Collection; figure out copy/paste error
## 51 Check webpage after Publishing
## 52 Set up Time Log data for use; Document Workflow
## 53 Shiny: Create Working Tabs
## 54 Code: Create web-clone interface template; re-write Shiny output$tab str <- paste()
## 55 Code: start creating web template
## 56 Code: Start timer again after Republish
## 57 Code: Change colour of active Tab
## 58 Code: HTML Template
## 59 Research: JS Tables
## 60 Code: Creating table in HTML
## 61 Code: HTML Tables again
## 62 Coding: Data Viz Flow Adding CourseNames ConcatenateR
## 63 Code: Interactive Flow add classes; add logo at bottom
## 64 Code: Update Interactive Flow Dataviz
## 65 Code: Shiny Clone Webpage with tabs
## 66 Admin: Time Log
## 67 Code: Interactive GGPlot Charts
## 68 Code: Look at what needs to be changed: interact-flow; shiny clone
## 69 Code: Look at what needs to be changed: interact-flow
## 70 Code: interact-flow
## 71 Code: Add TimeLog table
## 72 Code: Add time log total hours
## 73 Code: Tab names shorten
## 74 Code: Shiny Table
## 75 Code: Shiny App to Shiny Clone
## 76 Code: Try to change timelog datatable sortorder
## 77 Admin: Create .RMD Report
## 78 Code: Clone internal links
## 79 Code: Reduce Tabs Shiny App
## 80 Code: Add button to save pdf
## 81 Code: Add button to save pdf
## 82 Code: Check for matching tag errors
## 83 Admin: Time Log export
## 84 Admin: Time Log
## 85 Admin; ggplot timelog; Time Log Sub Tasks
## 86 Code: Shiny App: Formatting: Tips for use; Reword text; Fine-tune
## 87 Admin: Email from David
## 88 Admin: Report
## 89 Code: Gantt Chart for Course Planning
## 90 Admin: Organize Lists: ToDos Wishlists HowTos Needs
## 91 Code: Formatting
## 92 Accessibility: Document keyboard strokes to navigate through website
## 93 Accessibility: Add tips to About tab
## 94 Admin: Time Tracker
## 95 Code: Leaflet Map
## 96 Admin: iPad: GIP todo list
## 97 Admin: added timelog from iPad
## 98 Code: Update Interactive Flow webpage
## 99 Research: Mermaid.js flowcharts in webpage
## 100 Code: Interactive Paths Workflow
## 101 Code: Web Clone update to ShinyApp
## 102 Research: JS Interactive Tables
## 103 Code: js Interactive Table
## 104 Code: js Interactive Table
## 105 Admin: Update Timelog
## 106 Code: Table Select Save; Time Log
## 107 Code: Mermaid Flowchart Pdf Links
## 108 Code: Leaflet Web Map
## 109 Code: Leaflet Map
## 110 Code: Add tips for Leaflet Map use; Tab for GeogBA planning pdf
## 111 Admin: Meeting Email; Time Log; Report
## 112 Research:Tabs nested iPad
## 113 Admin: Lists: Format Shiny to ShinyClone ipad
## 114 Code cleaning task lit -ipad
## 115 Time Tasks and log from iPad List work
## 116 Lists from ipad
## 117 Code: Code cleaning WebClone rewrite after Map breakage
## 118 Code cleaning WebClone rewrite after Map breakage
## Start End TotalTaskTime TaskType
## 1 2023-01-06 3:40 2023-01-06 7:05 3h 25m 0s Data viz
## 2 2023-01-06 9:00 2023-01-06 11:06 2h 6m 36s Data viz
## 3 2023-01-06 12:40 2023-01-06 13:20 40m 0s Admin
## 4 2023-01-06 2:00 2023-01-06 3:00 1h 0s Experiment
## 5 2023-01-07 6:00 2023-01-07 7:45 1h 45m 0s Data
## 6 2023-01-07 7:45 2023-01-07 8:30 45m 0s Code
## 7 2023-01-07 9:45 2023-01-07 10:15 30m 0s Code
## 8 2023-01-07 10:30 2023-01-07 12:55 2h 25m 0s Code
## 9 2023-01-07 1:25 2023-01-07 1:45 20m 18s Code
## 10 2023-01-07 1:50 2023-01-07 3:20 1h 29m 42s Admin
## 11 2023-01-07 1:50 2023-01-07 2:10 20m 0s Questions
## 12 2023-01-08 5:28 2023-01-08 5:35 6m 29s Code
## 13 2023-01-08 5:42 2023-01-08 7:00 1h 17m 42s Code
## 14 2023-01-08 7:00 2023-01-08 7:15 14m 30s Admin
## 15 2023-01-08 7:15 2023-01-08 7:35 20m 9s Code
## 16 2023-01-08 7:41 2023-01-08 7:47 5m 39s Code
## 17 2023-01-08 9:21 2023-01-08 10:38 1h 17m 14s Code
## 18 2023-01-08 10:46 2023-01-08 11:47 1h 20s Code
## 19 2023-01-08 11:49 2023-01-08 12:59 1h 10m 35s Code
## 20 2023-01-08 12:59 2023-01-08 13:15 15m 35s Code
## 21 2023-01-08 1:30 2023-01-08 1:41 11m 34s Code
## 22 2023-01-09 6:15 2023-01-09 7:03 48m 0s Research
## 23 2023-01-08 7:50 2023-01-08 8:33 42m 40s Code
## 24 2023-01-08 8:37 2023-01-08 9:45 1h 8m 2s Code
## 25 2023-01-08 10:10 2023-01-08 11:59 1h 49m 6s Code
## 26 2023-01-09 12:00 2023-01-09 12:30 30m 28s Code
## 27 2023-01-09 5:25 2023-01-09 5:55 30m 0s Research
## 28 2023-01-09 5:25 2023-01-09 8:06 2h 41m 45s Code
## 29 2023-01-09 8:10 2023-01-09 8:39 29m 52s Research
## 30 2023-01-09 8:41 2023-01-09 9:15 34m 3s Experiment
## 31 2023-01-09 9:39 2023-01-09 10:38 59m 8s Experiment
## 32 2023-01-09 10:54 2023-01-09 12:33 1h 39m 3s Code
## 33 2023-01-09 12:33 2023-01-09 13:40 47m 22s Code
## 34 2023-01-09 2:20 2023-01-09 5:20 3h 0s Experiment
## 35 2023-01-10 5:37 2023-01-10 6:50 1h 12m 50s Code
## 36 2023-01-10 7:30 2023-01-10 8:16 46m 50s Code
## 37 2023-01-10 8:30 2023-01-10 9:25 54m 17s Code
## 38 2023-01-10 9:40 2023-01-10 10:24 44m 5s Code
## 39 2023-01-11 12:44 2023-01-11 15:05 2h 20m 22s Data
## 40 2023-01-11 4:38 2023-01-11 6:55 2h 16m 52s Data
## 41 2023-01-11 8:00 2023-01-11 10:18 2h 17m 47s Data
## 42 2023-01-11 10:29 2023-01-11 11:15 45m 52s Experiment
## 43 2023-01-11 11:17 2023-01-11 11:51 34m 0s Data
## 44 2023-01-11 12:11 2023-01-11 12:20 8m 53s Data
## 45 2023-01-11 1:30 2023-01-11 3:30 2h 0s Research
## 46 2023-01-11 4:30 2023-01-11 4:53 22m 52s Experiment
## 47 2023-01-11 6:47 2023-01-11 8:00 1h 12m 46s Code
## 48 2023-01-12 3:55 2023-01-12 6:58 3h 3m 9s Code
## 49 2023-01-12 7:08 2023-01-12 7:47 39m 26s Data
## 50 2023-01-12 7:50 2023-01-12 8:56 1h 6m 13s Data
## 51 2023-01-12 9:10 2023-01-12 9:20 9m 35s Code
## 52 2023-01-12 10:28 2023-01-12 13:49 3h 20m 54s Admin
## 53 2023-01-12 2:56 2023-01-12 4:34 1h 38m 21s Code
## 54 2023-01-13 4:41 2023-01-13 5:00 18m 57s Code
## 55 2023-01-13 5:12 2023-01-13 8:22 3h 10m 25s Code
## 56 2023-01-13 8:23 2023-01-13 8:32 8m 55s Code
## 57 2023-01-13 8:32 2023-01-13 8:40 8m 19s Code
## 58 2023-01-13 8:48 2023-01-13 9:05 17m 13s Code
## 59 2023-01-13 9:05 2023-01-13 10:23 1h 17m 18s Research
## 60 2023-01-13 11:01 2023-01-13 14:18:01 AM 3h 16m 8s Code
## 61 2023-01-13 2:39 2023-01-13 3:55 1h 16m 33s Code
## 62 2023-01-13 6:09 2023-01-13 7:55 1h 46m 0s Code
## 63 2023-01-14 2:32 2023-01-14 4:30 1h 57m 54s Code
## 64 2023-01-14 5:46 2023-01-14 8:46 3h 8s Code
## 65 2023-01-14 9:52 2023-01-14 12:58 3h 5m 22s Code
## 66 2023-01-14 5:00 2023-01-14 5:33 33m 6s Admin
## 67 2023-01-14 7:00 2023-01-14 8:30 1h 30m 0s Code
## 68 2023-01-15 7:00 2023-01-15 7:15 14m 52s Code
## 69 2023-01-15 7:15 2023-01-15 7:17 1m 40s Code
## 70 2023-01-15 7:23 2023-01-15 9:40 2h 17m 17s Code
## 71 2023-01-15 9:50 2023-01-15 10:13 22m 55s Code
## 72 2023-01-15 10:13 2023-01-15 11:17 1h 3m 48s Code
## 73 2023-01-15 11:27 2023-01-15 11:36 8m 49s Code
## 74 2023-01-15 11:50 2023-01-15 12:10 20m 30s Code
## 75 2023-01-15 1:03 2023-01-15 1:30 27m 9s Code
## 76 2023-01-15 1:44 2023-01-15 2:00 15m 44s Code
## 77 2023-01-15 2:00 2023-01-15 3:30 1h 30m 38s Admin
## 78 2023-01-15 3:30 2023-01-15 4:01 30m 56s Code
## 79 2023-01-15 4:01 2023-01-15 4:32 30m 52s Code
## 80 2023-01-15 5:49 2023-01-15 6:05 15m 30s Code
## 81 2023-01-15 6:06 2023-01-15 7:23 1h 17m 23s Code
## 82 2023-01-15 7:24 2023-01-15 9:24 1h 59m 25s Code
## 83 2023-01-16 0:01 2023-01-16 1:16 1h 15m 6s Admin
## 84 2023-01-16 1:16 2023-01-16 2:57 1h 41m 9s Admin
## 85 2023-01-16 1:00 2023-01-16 2:00 1h 26s Code
## 86 2023-01-16 4:35 2023-01-16 5:54 1h 19m 35s Code
## 87 2023-01-16 5:55 2023-01-16 6:23 27m 19s Admin
## 88 2023-01-16 7:32 2023-01-16 8:08 35m 31s Admin
## 89 2023-01-16 9:45 2023-01-16 11:15 1h 29m 47s Code
## 90 2023-01-17 12:03 2023-01-17 12:53 50m 0s Admin
## 91 2023-01-17 6:51 2023-01-17 7:15 23m 32s Admin
## 92 2023-01-17 7:15 2023-01-17 7:31 16m 5s Code
## 93 2023-01-17 7:43 2023-01-17 8:15 31m 33s Code
## 94 2023-01-18 1:28 2023-01-18 1:38 10m 3s Admin
## 95 2023-01-18 1:41 2023-01-18 2:33 52m 1s Code
## 96 2023-01-18 3:28 2023-01-18 3:32 3m 33s Admin
## 97 2023-01-18 4:01 2023-01-18 4:08 6m 51s Research
## 98 2023-01-18 4:08 2023-01-18 7:17 3h 9m 7s Code
## 99 2023-01-18 8:17 2023-01-18 8:47 29m 45s Research
## 100 2023-01-18 9:03 2023-01-18 10:13 1h 9m 47s Code
## 101 2023-01-18 10:33 2023-01-18 11:11 38m 2s Code
## 102 2023-01-18 11:26 2023-01-18 11:59 33m 1s Research
## 103 2023-01-18 0:02 2023-01-18 1:06 1h 3m 29s Code
## 104 2023-01-18 1:14 2023-01-18 2:42 1h 28m 23s Code
## 105 2023-01-18 2:49 2023-01-18 3:28 38m 23s Admin
## 106 2023-01-18 4:46 2023-01-18 7:13 2h 26m 42s Code
## 107 2023-01-18 8:35 2023-01-18 8:51 16m 15s Code
## 108 2023-01-18 9:35 2023-01-18 10:06 -20s Code
## 109 2023-01-19 4:34 2023-01-19 5:40 1h 5m 37s Code
## 110 2023-01-19 6:02 2023-01-19 6:12 9m 48s Code
## 111 2023-01-19 6:12 2023-01-19 6:32 20m 25s Admin
## 112 2023-01-20 12:52 2023-01-20 13:00 8m 12s Research
## 113 2023-01-20 3:35 2023-01-20 3:50 14m 47s Admin
## 114 2023-01-20 4:49 2023-01-20 4:57 7m 59s Code
## 115 2023-01-20 5:30 2023-01-20 5:30 4s Admin
## 116 2023-01-20 5:34 2023-01-20 5:38 4m 2s Admin
## 117 2023-01-20 5:41 2023-01-20 8:48 3h 7m 9s Code
## 118 2023-01-20 8:55 2023-01-20 11:49 2h 54m 16s Code
## SummaryTotal SummaryDay
## 1 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 2 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 3 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 4 7h 11m 36s Day 1: 2023-01-06: Dissect Interactive Dataviz
## 5 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 6 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 7 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 8 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 9 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 10 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 11 7h 35m 0s Day 2: 2023-01-07: Start Shiny app
## 12 10h 27m 35s Day 3: 2023-01-08: Refining App
## 13 10h 27m 35s Day 3: 2023-01-08: Refining App
## 14 10h 27m 35s Day 3: 2023-01-08: Refining App
## 15 10h 27m 35s Day 3: 2023-01-08: Refining App
## 16 10h 27m 35s Day 3: 2023-01-08: Refining App
## 17 10h 27m 35s Day 3: 2023-01-08: Refining App
## 18 10h 27m 35s Day 3: 2023-01-08: Refining App
## 19 10h 27m 35s Day 3: 2023-01-08: Refining App
## 20 10h 27m 35s Day 3: 2023-01-08: Refining App
## 21 10h 27m 35s Day 3: 2023-01-08: Refining App
## 22 10h 27m 35s Day 3: 2023-01-08: Refining App
## 23 10h 27m 35s Day 3: 2023-01-08: Refining App
## 24 10h 27m 35s Day 3: 2023-01-08: Refining App
## 25 10h 27m 35s Day 3: 2023-01-08: Refining App
## 26 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 27 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 28 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 29 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 30 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 31 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 32 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 33 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 34 10h 41m 44s Day 4: 2023-01-09: Interactive pdfs
## 35 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 36 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 37 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 38 3h 38m 2s Day 5: 2023-01-10: Interactive pdfs
## 39 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 40 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 41 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 42 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 43 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 44 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 45 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 46 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 47 11h 59m 24s Day 6: 2023-01-11: Study Focus Docs
## 48 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 49 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 50 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 51 5h 37m 15s Day 7: 2023-01-012: Mermaid Diagrams
## 52 9h 57m 38s Day 7: 2023-01-12: Mermaid Diagrams
## 53 9h 57m 38s Day 7: 2023-01-12: Mermaid Diagrams
## 54 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 55 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 56 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 57 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 58 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 59 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 60 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 61 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 62 11h 39m 55s Day 8: 2023-01-13: HTML Code; Change Tab Nesting and Colour
## 63 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 64 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 65 8h 3m 24s Day 9: 2023-01-14: Code:Interactive Flow
## 66 8h 36m 30s Day 9: 2023-01-14: Code:Interactive Flow
## 67 10h 6m 30s Day 9: 2023-01-14: Code:Interactive Flow
## 68 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 69 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 70 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 71 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 72 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 73 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 74 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 75 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 76 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 77 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 78 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 79 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 80 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 81 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 82 11h 17m 28s Day 10: 2023-01-15: Code: interact-flow; shiny clone
## 83 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 84 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 85 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 86 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 87 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 88 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 89 7h 48m 53s Day 11: 2023-01-16: Code: interact-flow; shiny clone
## 90 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 91 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 92 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 93 2h 1m 10s Day 12: 2023-01-17: Code Formatting
## 94 12h 49m 7s Day 13: 2023-01-18: Coding
## 95 12h 49m 7s Day 13: 2023-01-18: Coding
## 96 12h 49m 7s Day 13: 2023-01-18: Coding
## 97 12h 49m 7s Day 13: 2023-01-18: Coding
## 98 12h 49m 7s Day 13: 2023-01-18: Coding
## 99 12h 49m 7s Day 13: 2023-01-18: Coding
## 100 12h 49m 7s Day 13: 2023-01-18: Coding
## 101 12h 49m 7s Day 13: 2023-01-18: Coding
## 102 12h 49m 7s Day 13: 2023-01-18: Coding
## 103 12h 49m 7s Day 13: 2023-01-18: Coding
## 104 12h 49m 7s Day 13: 2023-01-18: Coding
## 105 12h 49m 7s Day 13: 2023-01-18: Coding
## 106 12h 49m 7s Day 13: 2023-01-18: Coding
## 107 12h 49m 7s Day 13: 2023-01-18: Coding
## 108 12h 49m 7s Day 13: 2023-01-18: Coding
## 109 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 110 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 111 1h 5m 37s Day 14: 2023-01-19 Code: Leaflet Map; Time Log; Report
## 112 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 113 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 114 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 115 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 116 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 117 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## 118 6h 36m 29s Day 15: 2023-01-20 Code: Code Cleaning; To Do Lists
## Day Date MainTask TotalTimeMin
## 1 Day 1 2023-01-06 Dissect Interactive Dataviz 205
## 2 Day 1 2023-01-06 Dissect Interactive Dataviz 126
## 3 Day 1 2023-01-06 Dissect Interactive Dataviz 40
## 4 Day 1 2023-01-06 Dissect Interactive Dataviz 60
## 5 Day 2 2023-01-07 Start Shiny app 105
## 6 Day 2 2023-01-07 Start Shiny app 45
## 7 Day 2 2023-01-07 Start Shiny app 30
## 8 Day 2 2023-01-07 Start Shiny app 145
## 9 Day 2 2023-01-07 Start Shiny app 20
## 10 Day 2 2023-01-07 Start Shiny app 90
## 11 Day 2 2023-01-07 Start Shiny app 20
## 12 Day 3 2023-01-08 Refining App 7
## 13 Day 3 2023-01-08 Refining App 78
## 14 Day 3 2023-01-08 Refining App 15
## 15 Day 3 2023-01-08 Refining App 20
## 16 Day 3 2023-01-08 Refining App 6
## 17 Day 3 2023-01-08 Refining App 77
## 18 Day 3 2023-01-08 Refining App 61
## 19 Day 3 2023-01-08 Refining App 70
## 20 Day 3 2023-01-08 Refining App 16
## 21 Day 3 2023-01-08 Refining App 11
## 22 Day 3 2023-01-08 Refining App 48
## 23 Day 3 2023-01-08 Refining App 43
## 24 Day 3 2023-01-08 Refining App 68
## 25 Day 3 2023-01-08 Refining App 109
## 26 Day 4 2023-01-09 Interactive pdfs 30
## 27 Day 4 2023-01-09 Interactive pdfs 30
## 28 Day 4 2023-01-09 Interactive pdfs 161
## 29 Day 4 2023-01-09 Interactive pdfs 29
## 30 Day 4 2023-01-09 Interactive pdfs 34
## 31 Day 4 2023-01-09 Interactive pdfs 59
## 32 Day 4 2023-01-09 Interactive pdfs 99
## 33 Day 4 2023-01-09 Interactive pdfs 67
## 34 Day 4 2023-01-09 Interactive pdfs 180
## 35 Day 5 2023-01-10 Interactive pdfs 73
## 36 Day 5 2023-01-10 Interactive pdfs 46
## 37 Day 5 2023-01-10 Interactive pdfs 55
## 38 Day 5 2023-01-10 Interactive pdfs 44
## 39 Day 6 2023-01-11 Study Focus Docs 141
## 40 Day 6 2023-01-11 Study Focus Docs 137
## 41 Day 6 2023-01-11 Study Focus Docs 138
## 42 Day 6 2023-01-11 Study Focus Docs 46
## 43 Day 6 2023-01-11 Study Focus Docs 34
## 44 Day 6 2023-01-11 Study Focus Docs 9
## 45 Day 6 2023-01-11 Study Focus Docs 120
## 46 Day 6 2023-01-11 Study Focus Docs 23
## 47 Day 6 2023-01-11 Study Focus Docs 73
## 48 Day 7 2023-01-12 Mermaid Diagrams 183
## 49 Day 7 2023-01-12 Mermaid Diagrams 39
## 50 Day 7 2023-01-12 Mermaid Diagrams 66
## 51 Day 7 2023-01-12 Mermaid Diagrams 10
## 52 Day 7 2023-01-12 Mermaid Diagrams 201
## 53 Day 7 2023-01-12 Mermaid Diagrams 98
## 54 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 19
## 55 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 190
## 56 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 9
## 57 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 8
## 58 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 17
## 59 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 78
## 60 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 197
## 61 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 76
## 62 Day 8 2023-01-13 HTML Code; Change Tab Nesting and Colour 106
## 63 Day 9 2023-01-14 Code:Interactive Flow 118
## 64 Day 9 2023-01-14 Code:Interactive Flow 180
## 65 Day 9 2023-01-14 Code:Interactive Flow 186
## 66 Day 9 2023-01-14 Code:Interactive Flow 33
## 67 Day 9 2023-01-14 Code:Interactive Flow 90
## 68 Day 10 2023-01-15 Code: interact-flow; shiny clone 15
## 69 Day 10 2023-01-15 Code: interact-flow; shiny clone 2
## 70 Day 10 2023-01-15 Code: interact-flow; shiny clone 137
## 71 Day 10 2023-01-15 Code: interact-flow; shiny clone 23
## 72 Day 10 2023-01-15 Code: interact-flow; shiny clone 64
## 73 Day 10 2023-01-15 Code: interact-flow; shiny clone 9
## 74 Day 10 2023-01-15 Code: interact-flow; shiny clone 20
## 75 Day 10 2023-01-15 Code: interact-flow; shiny clone 27
## 76 Day 10 2023-01-15 Code: interact-flow; shiny clone 16
## 77 Day 10 2023-01-15 Code: interact-flow; shiny clone 90
## 78 Day 10 2023-01-15 Code: interact-flow; shiny clone 31
## 79 Day 10 2023-01-15 Code: interact-flow; shiny clone 31
## 80 Day 10 2023-01-15 Code: interact-flow; shiny clone 16
## 81 Day 10 2023-01-15 Code: interact-flow; shiny clone 77
## 82 Day 10 2023-01-15 Code: interact-flow; shiny clone 120
## 83 Day 11 2023-01-16 Code: interact-flow; shiny clone 75
## 84 Day 11 2023-01-16 Code: interact-flow; shiny clone 101
## 85 Day 11 2023-01-16 Code: interact-flow; shiny clone 60
## 86 Day 11 2023-01-16 Code: interact-flow; shiny clone 79
## 87 Day 11 2023-01-16 Code: interact-flow; shiny clone 28
## 88 Day 11 2023-01-16 Code: interact-flow; shiny clone 36
## 89 Day 11 2023-01-16 Code: interact-flow; shiny clone 90
## 90 Day 12 2023-01-17 Code Formatting 50
## 91 Day 12 2023-01-17 Code Formatting 24
## 92 Day 12 2023-01-17 Code Formatting 16
## 93 Day 12 2023-01-17 Code Formatting 32
## 94 Day 13 2023-01-18 Coding 10
## 95 Day 13 2023-01-18 Coding 52
## 96 Day 13 2023-01-18 Coding 4
## 97 Day 13 2023-01-18 Coding 7
## 98 Day 13 2023-01-18 Coding 189
## 99 Day 13 2023-01-18 Coding 30
## 100 Day 13 2023-01-18 Coding 70
## 101 Day 13 2023-01-18 Coding 38
## 102 Day 13 2023-01-18 Coding 33
## 103 Day 13 2023-01-18 Coding 64
## 104 Day 13 2023-01-18 Coding 88
## 105 Day 13 2023-01-18 Coding 39
## 106 Day 13 2023-01-18 Coding 147
## 107 Day 13 2023-01-18 Coding 16
## 108 Day 13 2023-01-18 Coding 31
## 109 Day 14 2023-01-19 Leaflet Map; Time Log; Report 66
## 110 Day 14 2023-01-19 Leaflet Map; Time Log; Report 10
## 111 Day 14 2023-01-19 Leaflet Map; Time Log; Report 20
## 112 Day 15 2023-01-20 Code Cleaning; To Do Lists 8
## 113 Day 15 2023-01-20 Code Cleaning; To Do Lists 15
## 114 Day 15 2023-01-20 Code Cleaning; To Do Lists 8
## 115 Day 15 2023-01-20 Code Cleaning; To Do Lists 0
## 116 Day 15 2023-01-20 Code Cleaning; To Do Lists 4
## 117 Day 15 2023-01-20 Code Cleaning; To Do Lists 187
## 118 Day 15 2023-01-20 Code Cleaning; To Do Lists 174
## TotalTimeHr SubTask
## 1 3.417 Data Viz: Concept Maps
## 2 2.100 Data Viz: Interactive Flow
## 3 0.667 Communication: Email
## 4 1.000 Style: CSS
## 5 1.750 Webpage: ShinyApp
## 6 0.750 JS Tables
## 7 0.500 Save Button
## 8 2.417 Webpage: ShinyApp
## 9 0.333 Data Viz: Concept Maps
## 10 1.500 Admin: Time Log
## 11 0.333 Lists: ToDos; Questions
## 12 0.117 Webpage: ShinyApp
## 13 1.300 Webpage: ShinyApp
## 14 0.250 Admin: Time Log
## 15 0.333 Webpage: ShinyApp
## 16 0.100 Webpage: ShinyApp
## 17 1.283 Webpage: ShinyApp
## 18 1.017 Style: CSS
## 19 1.167 Webpage: ShinyApp
## 20 0.267 Research
## 21 0.183 Data Table
## 22 0.800 Save Button
## 23 0.717 Style: CSS
## 24 1.133 Save Button
## 25 1.817 Save Button
## 26 0.500 Save Button
## 27 0.500 Lists: ToDos; Questions
## 28 2.683 Research
## 29 0.483 Data Viz: Linked PDFs
## 30 0.567 Data Viz: Linked PDFs
## 31 0.983 Data Viz: Concept Maps
## 32 1.650 Save Button
## 33 1.117 Data Table
## 34 3.000 Data Table
## 35 1.217 Webpage: ShinyApp
## 36 0.767 Style: CSS
## 37 0.917 Code Cleaning
## 38 0.733 Code Cleaning
## 39 2.350 Linked PDFs
## 40 2.283 Data Collection
## 41 2.300 Data Collection
## 42 0.767 Data Table
## 43 0.567 Data Collection
## 44 0.150 Data Collection
## 45 2.000 Data Collection
## 46 0.383 Data Viz: Interactive Flow
## 47 1.217 Code Cleaning
## 48 3.050 Data Viz: Mermaid Flowcharts
## 49 0.650 Data Collection
## 50 1.100 Data Collection
## 51 0.167 Code Cleaning
## 52 3.350 Workflow: Documentation
## 53 1.633 Webpage: ShinyApp
## 54 0.317 Webpage: Web Page
## 55 3.167 Webpage: Web Page
## 56 0.150 Code Cleaning
## 57 0.133 Webpage: ShinyApp
## 58 0.283 Webpage: Web Page
## 59 1.300 JS Tables
## 60 3.283 JS Tables
## 61 1.267 JS Tables
## 62 1.767 Data Viz: Interactive Flow
## 63 1.967 Data Viz: Interactive Flow
## 64 3.000 Data Viz: Interactive Flow
## 65 3.100 Webpage: Web Page
## 66 0.550 Admin: Time Log
## 67 1.500 Document Workflow
## 68 0.250 Webpage: Web Page
## 69 0.033 Data Viz: Interactive Flow
## 70 2.283 Data Viz: Interactive Flow
## 71 0.383 Webpage: ShinyApp
## 72 1.067 Admin: Time Log
## 73 0.150 Webpage: Web Page
## 74 0.333 Data Table
## 75 0.450 Webpage: Web Page
## 76 0.267 Data Table
## 77 1.500 Communication: Report
## 78 0.517 Webpage: Web Page
## 79 0.517 Webpage: ShinyApp
## 80 0.267 Save Button
## 81 1.283 Save Button
## 82 2.000 Code Cleaning
## 83 1.250 Admin: Time Log
## 84 1.683 Admin: Time Log
## 85 1.000 Data Viz: Interactive Flow
## 86 1.317 Webpage: ShinyApp
## 87 0.467 Communication: Email
## 88 0.600 Communication: Report
## 89 1.500 Data Viz: Gantt
## 90 0.833 Lists: ToDos; Questions
## 91 0.400 Style: CSS
## 92 0.267 Tips: Accessibility
## 93 0.533 Tips: Accessibility
## 94 0.167 Admin: Time Log
## 95 0.867 Map: Leaflet
## 96 0.067 Lists: ToDos; Questions
## 97 0.117 Research
## 98 3.150 Data Viz: Interactive Pathways
## 99 0.500 Data Viz: Mermaid Flowcharts
## 100 1.167 Data Viz: Interactive Pathways
## 101 0.633 Webpage: Web Page
## 102 0.550 Interactive Tables
## 103 1.067 Interactive Tables
## 104 1.467 Interactive Tables
## 105 0.650 Workflow: Documentation
## 106 2.450 Interactive Tables
## 107 0.267 Data Viz: Mermaid Flowcharts
## 108 0.517 Map: Leaflet
## 109 1.100 Map: Leaflet
## 110 0.167 Map: Leaflet
## 111 0.333 Communication: Email
## 112 0.133 Research
## 113 0.250 Lists: ToDos; Questions
## 114 0.133 Code Cleaning
## 115 0.000 Admin: Time Log
## 116 0.067 Lists: ToDos; Questions
## 117 3.117 Code Cleaning
## 118 2.900 Code Cleaning
tl$TotalTimeMin <- difftime(tl$End, tl$Start, units = "mins")
tl$TotalTimeMin## Time differences in mins
## [1] 205 126 40 60 105 45 30 145 20 90 20 7 78 15 20 6 77 61
## [19] 70 16 11 48 43 68 109 30 30 161 29 34 59 99 67 180 73 46
## [37] 55 44 141 137 138 46 34 9 120 23 73 183 39 66 10 201 98 19
## [55] 190 9 8 17 78 197 76 106 118 180 186 33 90 15 2 137 23 64
## [73] 9 20 27 16 90 31 31 16 77 120 75 101 60 79 28 36 90 50
## [91] 24 16 32 10 52 4 7 189 30 70 38 33 64 88 39 147 16 31
## [109] 66 10 20 8 15 8 0 4 187 174
tl$Start## [1] "2023-01-06 3:40" "2023-01-06 9:00" "2023-01-06 12:40"
## [4] "2023-01-06 2:00" "2023-01-07 6:00" "2023-01-07 7:45"
## [7] "2023-01-07 9:45" "2023-01-07 10:30" "2023-01-07 1:25"
## [10] "2023-01-07 1:50" "2023-01-07 1:50" "2023-01-08 5:28"
## [13] "2023-01-08 5:42" "2023-01-08 7:00" "2023-01-08 7:15"
## [16] "2023-01-08 7:41" "2023-01-08 9:21" "2023-01-08 10:46"
## [19] "2023-01-08 11:49" "2023-01-08 12:59" "2023-01-08 1:30"
## [22] "2023-01-09 6:15" "2023-01-08 7:50" "2023-01-08 8:37"
## [25] "2023-01-08 10:10" "2023-01-09 12:00" "2023-01-09 5:25"
## [28] "2023-01-09 5:25" "2023-01-09 8:10" "2023-01-09 8:41"
## [31] "2023-01-09 9:39" "2023-01-09 10:54" "2023-01-09 12:33"
## [34] "2023-01-09 2:20" "2023-01-10 5:37" "2023-01-10 7:30"
## [37] "2023-01-10 8:30" "2023-01-10 9:40" "2023-01-11 12:44"
## [40] "2023-01-11 4:38" "2023-01-11 8:00" "2023-01-11 10:29"
## [43] "2023-01-11 11:17" "2023-01-11 12:11" "2023-01-11 1:30"
## [46] "2023-01-11 4:30" "2023-01-11 6:47" "2023-01-12 3:55"
## [49] "2023-01-12 7:08" "2023-01-12 7:50" "2023-01-12 9:10"
## [52] "2023-01-12 10:28" "2023-01-12 2:56" "2023-01-13 4:41"
## [55] "2023-01-13 5:12" "2023-01-13 8:23" "2023-01-13 8:32"
## [58] "2023-01-13 8:48" "2023-01-13 9:05" "2023-01-13 11:01"
## [61] "2023-01-13 2:39" "2023-01-13 6:09" "2023-01-14 2:32"
## [64] "2023-01-14 5:46" "2023-01-14 9:52" "2023-01-14 5:00"
## [67] "2023-01-14 7:00" "2023-01-15 7:00" "2023-01-15 7:15"
## [70] "2023-01-15 7:23" "2023-01-15 9:50" "2023-01-15 10:13"
## [73] "2023-01-15 11:27" "2023-01-15 11:50" "2023-01-15 1:03"
## [76] "2023-01-15 1:44" "2023-01-15 2:00" "2023-01-15 3:30"
## [79] "2023-01-15 4:01" "2023-01-15 5:49" "2023-01-15 6:06"
## [82] "2023-01-15 7:24" "2023-01-16 0:01" "2023-01-16 1:16"
## [85] "2023-01-16 1:00" "2023-01-16 4:35" "2023-01-16 5:55"
## [88] "2023-01-16 7:32" "2023-01-16 9:45" "2023-01-17 12:03"
## [91] "2023-01-17 6:51" "2023-01-17 7:15" "2023-01-17 7:43"
## [94] "2023-01-18 1:28" "2023-01-18 1:41" "2023-01-18 3:28"
## [97] "2023-01-18 4:01" "2023-01-18 4:08" "2023-01-18 8:17"
## [100] "2023-01-18 9:03" "2023-01-18 10:33" "2023-01-18 11:26"
## [103] "2023-01-18 0:02" "2023-01-18 1:14" "2023-01-18 2:49"
## [106] "2023-01-18 4:46" "2023-01-18 8:35" "2023-01-18 9:35"
## [109] "2023-01-19 4:34" "2023-01-19 6:02" "2023-01-19 6:12"
## [112] "2023-01-20 12:52" "2023-01-20 3:35" "2023-01-20 4:49"
## [115] "2023-01-20 5:30" "2023-01-20 5:34" "2023-01-20 5:41"
## [118] "2023-01-20 8:55"
tl$End## [1] "2023-01-06 7:05" "2023-01-06 11:06"
## [3] "2023-01-06 13:20" "2023-01-06 3:00"
## [5] "2023-01-07 7:45" "2023-01-07 8:30"
## [7] "2023-01-07 10:15" "2023-01-07 12:55"
## [9] "2023-01-07 1:45" "2023-01-07 3:20"
## [11] "2023-01-07 2:10" "2023-01-08 5:35"
## [13] "2023-01-08 7:00" "2023-01-08 7:15"
## [15] "2023-01-08 7:35" "2023-01-08 7:47"
## [17] "2023-01-08 10:38" "2023-01-08 11:47"
## [19] "2023-01-08 12:59" "2023-01-08 13:15"
## [21] "2023-01-08 1:41" "2023-01-09 7:03"
## [23] "2023-01-08 8:33" "2023-01-08 9:45"
## [25] "2023-01-08 11:59" "2023-01-09 12:30"
## [27] "2023-01-09 5:55" "2023-01-09 8:06"
## [29] "2023-01-09 8:39" "2023-01-09 9:15"
## [31] "2023-01-09 10:38" "2023-01-09 12:33"
## [33] "2023-01-09 13:40" "2023-01-09 5:20"
## [35] "2023-01-10 6:50" "2023-01-10 8:16"
## [37] "2023-01-10 9:25" "2023-01-10 10:24"
## [39] "2023-01-11 15:05" "2023-01-11 6:55"
## [41] "2023-01-11 10:18" "2023-01-11 11:15"
## [43] "2023-01-11 11:51" "2023-01-11 12:20"
## [45] "2023-01-11 3:30" "2023-01-11 4:53"
## [47] "2023-01-11 8:00" "2023-01-12 6:58"
## [49] "2023-01-12 7:47" "2023-01-12 8:56"
## [51] "2023-01-12 9:20" "2023-01-12 13:49"
## [53] "2023-01-12 4:34" "2023-01-13 5:00"
## [55] "2023-01-13 8:22" "2023-01-13 8:32"
## [57] "2023-01-13 8:40" "2023-01-13 9:05"
## [59] "2023-01-13 10:23" "2023-01-13 14:18:01 AM"
## [61] "2023-01-13 3:55" "2023-01-13 7:55"
## [63] "2023-01-14 4:30" "2023-01-14 8:46"
## [65] "2023-01-14 12:58" "2023-01-14 5:33"
## [67] "2023-01-14 8:30" "2023-01-15 7:15"
## [69] "2023-01-15 7:17" "2023-01-15 9:40"
## [71] "2023-01-15 10:13" "2023-01-15 11:17"
## [73] "2023-01-15 11:36" "2023-01-15 12:10"
## [75] "2023-01-15 1:30" "2023-01-15 2:00"
## [77] "2023-01-15 3:30" "2023-01-15 4:01"
## [79] "2023-01-15 4:32" "2023-01-15 6:05"
## [81] "2023-01-15 7:23" "2023-01-15 9:24"
## [83] "2023-01-16 1:16" "2023-01-16 2:57"
## [85] "2023-01-16 2:00" "2023-01-16 5:54"
## [87] "2023-01-16 6:23" "2023-01-16 8:08"
## [89] "2023-01-16 11:15" "2023-01-17 12:53"
## [91] "2023-01-17 7:15" "2023-01-17 7:31"
## [93] "2023-01-17 8:15" "2023-01-18 1:38"
## [95] "2023-01-18 2:33" "2023-01-18 3:32"
## [97] "2023-01-18 4:08" "2023-01-18 7:17"
## [99] "2023-01-18 8:47" "2023-01-18 10:13"
## [101] "2023-01-18 11:11" "2023-01-18 11:59"
## [103] "2023-01-18 1:06" "2023-01-18 2:42"
## [105] "2023-01-18 3:28" "2023-01-18 7:13"
## [107] "2023-01-18 8:51" "2023-01-18 10:06"
## [109] "2023-01-19 5:40" "2023-01-19 6:12"
## [111] "2023-01-19 6:32" "2023-01-20 13:00"
## [113] "2023-01-20 3:50" "2023-01-20 4:57"
## [115] "2023-01-20 5:30" "2023-01-20 5:38"
## [117] "2023-01-20 8:48" "2023-01-20 11:49"
library(ggplot2)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
tp_stack <- ggplot(tl, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = position_stack()) +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_stackggsave(paste0("images/TimePlot-stack-", format(Sys.time(), "%Y%m%d_%H%M%S"),
".png"), tp_stack)## Saving 7 x 5 in image
ggsave(paste0("images/TimePlot-stack-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_stack)## Saving 7 x 5 in image
ggsave("images/TimePlot-stack-2023-01-14.png", tp_stack)## Saving 7 x 5 in image
library(ggplot2)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
tp_side <- ggplot(tl, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_side# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side)## Saving 7 x 5 in image
ggsave("images/TimePlot-side-2023-01-14.png", tp_side)## Saving 7 x 5 in image
library(ggplot2)
# install.packages("plotly")
library(plotly)##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
tp_side <- ggplot(tl, aes(x = Date, y = TotalTimeHr, label = SubTask)) +
geom_bar(aes(fill = TaskType),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
ggplotly(tp_side)# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side)## Saving 7 x 5 in image
ggsave("images/TimePlot-side-2023-01-14.png", tp_side)## Saving 7 x 5 in image
library(ggplot2)
# install.packages("plotly")
library(plotly)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
tp_side_subtask <- ggplot(tl, aes(x = Date, y = TotalTimeHr, label = TaskType)) +
geom_bar(aes(fill = SubTask),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge") +
ylim(0, 15) +
labs(title = "Sub Task Time Log for Geog Interactive Course Explorations",
subtitle = "UVic Geography Wendy Anthony 2023",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
ggplotly(tp_side_subtask)# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-side-subtask-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_side_subtask)## Saving 7 x 5 in image
ggsave("images/TimePlot-side-subtask-2023-01-16.png", tp_side_subtask)## Saving 7 x 5 in image
library(ggplot2)
library(dplyr)
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# colnames(tl)
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
dplyr::select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
dplyr::group_by(Date) %>%
dplyr::summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_bar <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TotalTimeHr),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge",
width = 0.75,
fill = "#69A81D") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Date", y = "Total Hours") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90,vjust = .45, hjust = 0.75))
tp_group_barlibrary(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# colnames(tl)
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_bar <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr)) +
geom_bar(aes(fill = TotalTimeHr),
#geom_bar(aes(color = TaskType, fill = TaskType),
stat = "identity", position = "dodge",
width = 0.35,
fill = "#69A81D") +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90,vjust = .45, hjust = 0.75))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_bar# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-bar-", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_bar)## Saving 7 x 5 in image
ggsave("images/TimePlot-group-bar-2023-01-14.png", tp_group_bar)## Saving 7 x 5 in image
library(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_line <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr, group=1)) +
geom_line(linetype = "dashed") +
geom_point() +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_line# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-line", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_line)## Saving 7 x 5 in image
ggsave("images/TimePlot-group-line-2023-01-14.png", tp_group_line)## Saving 7 x 5 in image
# Sum of Hourslibrary(ggplot2)
library(dplyr) # group_by summarise
tl <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
colnames(tl)## [1] "Task" "Start" "End" "TotalTaskTime"
## [5] "TaskType" "SummaryTotal" "SummaryDay" "Day"
## [9] "Date" "MainTask" "TotalTimeMin" "TotalTimeHr"
## [13] "SubTask"
# group_by() sum()
# https://rveryday.wordpress.com/2016/11/30/how-to-summarize-a-data-frame-by-groups-in-r/
tl_group <- tl %>%
select(Day, Date, TotalTimeMin, TotalTimeHr, TaskType) %>%
group_by(Date) %>%
summarise(TotalTimeHr = sum(TotalTimeHr))
tp_group_line <- ggplot(tl_group, aes(x = Date, y = TotalTimeHr, group=1)) +
geom_line(linetype = "dashed") +
geom_point() +
ylim(0, 15) +
labs(title = "Task Time Log for Geog Interactive Course Explorations",
subtitle = "Group by Total Hours per Day",
caption = "UVic Geography Wendy Anthony 2023",
x = "Day", y = "Total Hours") +
#scale_fill_brewer("Pastel2") + #
# scale_fill_brewer() + # blues
# scale_colour_brewer(palette = "Dark2") +
# scale_colour_brewer(palette = "Accent") +
theme_bw() +
theme(legend.title = element_blank(),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=0.5))
#theme_classic()
# stacked position = position_stack()
# side by side position = "dodge"
tp_group_line# https://stackoverflow.com/questions/38274213/adding-system-time-and-date-to-pdf-with-ggsave
ggsave(paste0("images/TimePlot-group-line", format(Sys.time(), "%Y-%m-%d_%H-%M"),
".png"), tp_group_line)## Saving 7 x 5 in image
ggsave("images/TimePlot-group-line-2023-01-14.png", tp_group_line)## Saving 7 x 5 in image
# Sum of HoursTimeLog_current <- read.csv("GeogInteract-app-WORKING/TimeLog-Current.csv")
# TimeLog_current
# colnames(TimeLog_current)
# TimeLog_current$TotalTimeHr
TotalHours <- sum(TimeLog_current[, 'TotalTimeHr'])
TotalHours## [1] 127.105
library(DiagrammeR)
mermaid("graph LR;
A[Geography Major BA]
B[Focus: Environment]
E1[GEOG 101A]
E2[GEOG 101B]
E3[GEOG 103]
E4[GEOG 130]
E5[GEOG 226]
E6[GEOG 230]
E7[GEOG 252]
E8[GEOG 304]
E9[GEOG 353]
E10[GEOG 438]
E11[GEOG 453]
B-->A;
E1-->E5;
E3-->E5;
E4-->E6;
E7-->E8;
E7-->E9;
E9-->E11;
")# Session info
# to document specific packages used to run script
sessionInfo()## R version 4.2.1 (2022-06-23)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Mojave 10.14.6
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] DiagrammeR_1.0.9 plotly_4.10.1 stringr_1.4.1 dplyr_1.0.10
## [5] ggplot2_3.4.0
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.2.0 xfun_0.33 bslib_0.4.0 purrr_0.3.5
## [5] colorspace_2.0-3 vctrs_0.5.0 generics_0.1.3 viridisLite_0.4.1
## [9] htmltools_0.5.3 yaml_2.3.5 utf8_1.2.2 rlang_1.0.6
## [13] jquerylib_0.1.4 pillar_1.8.1 glue_1.6.2 withr_2.5.0
## [17] DBI_1.1.3 RColorBrewer_1.1-3 lifecycle_1.0.3 munsell_0.5.0
## [21] gtable_0.3.1 ragg_1.2.3 visNetwork_2.1.2 htmlwidgets_1.5.4
## [25] evaluate_0.17 labeling_0.4.2 knitr_1.40 fastmap_1.1.0
## [29] crosstalk_1.2.0 fansi_1.0.3 highr_0.9 scales_1.2.1
## [33] cachem_1.0.6 jsonlite_1.8.2 farver_2.1.1 systemfonts_1.0.4
## [37] textshaping_0.3.6 digest_0.6.30 stringi_1.7.8 grid_4.2.1
## [41] cli_3.4.1 tools_4.2.1 magrittr_2.0.3 sass_0.4.2
## [45] lazyeval_0.2.2 tibble_3.1.8 tidyr_1.2.1 pkgconfig_2.0.3
## [49] data.table_1.14.2 assertthat_0.2.1 rmarkdown_2.17 httr_1.4.4
## [53] rstudioapi_0.14 R6_2.5.1 compiler_4.2.1